This document describes version 0.4. 0 of librosa: a Python package for audio and music
signal processing. At a high level, librosa provides implementations of a variety of common …

We advance the state of the art in polyphonic piano music transcription by using a deep
convolutional and recurrent neural network which is trained to jointly predict onsets and …

In this paper, we present a transfer learning approach for music classification and regression
tasks. We propose to use a pre-trained convnet feature, a concatenated feature vector using …

Sequences of feature vectors are a natural way of representing temporal data. Given a
database of sequences, a fundamental task is to find the database entry which is the most …

Naked mole-rats (Heterocephalus glaber) form some of the most cooperative groups in the
animal kingdom, living in multigenerational colonies under the control of a single breeding …

Environmental sound detection is a challenging application of machine learning because of
the noisy nature of the signal, and the small amount of (labeled) data that is typically …

This paper studies the detection of bird calls in audio segments using stacked convolutional
and recurrent neural networks. Data augmentation by blocks mixing and domain adaptation …

In this paper, we propose the use of spatial and harmonic features in combination with long
short term memory (LSTM) recurrent neural network (RNN) for automatic sound event …

Songs, as a medium of expression, have always been a popular choice to depict and
understand human emotions. Reliable emotion based classification systems can go a long …

Deep learning models have improved cutting-edge technologies in many research areas,
but their black-box structure makes it difficult to understand their inner workings and the …